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When I try to run main_nerf.py, I successfully loaded the data, but the interactive renderer was crushed due to the following errors:
2023-05-11 20:07:33,458| INFO| [i] Running at 60 frames/second
Traceback (most recent call last):
File "C:\Users\admin\PycharmProjects\kaolin-wisp-main\app\nerf\main_nerf.py", line 491, in <module>
app.run() # Run in interactive mode
File "C:\Users\admin\PycharmProjects\kaolin-wisp-main\wisp\renderer\app\wisp_app.py", line 253, in run
app.run() # App clock should always run as frequently as possible (background tasks should not be limited)
File "C:\Users\admin\.conda\envs\wisp\lib\site-packages\glumpy\app\__init__.py", line 317, in run
clock = __init__(clock=clock, framerate=framerate, backend=__backend__)
File "C:\Users\admin\.conda\envs\wisp\lib\site-packages\glumpy\app\__init__.py", line 277, in __init__
window.dispatch_event('on_resize', window._width, window._height)
File "C:\Users\admin\.conda\envs\wisp\lib\site-packages\glumpy\app\window\event.py", line 396, in dispatch_event
if getattr(self, event_type)(*args):
File "C:\Users\admin\PycharmProjects\kaolin-wisp-main\wisp\renderer\app\wisp_app.py", line 555, in on_resize
self.cugl_rgb_handle = self._register_cugl_shared_texture(tex)
File "C:\Users\admin\PycharmProjects\kaolin-wisp-main\wisp\renderer\app\wisp_app.py", line 331, in _register_cugl_shared_texture
handle = cuda_register_gl_image(image=int(tex.handle), target=tex.target)
File "C:\Users\admin\PycharmProjects\kaolin-wisp-main\wisp\renderer\core\cuda.py", line 57, in cuda_register_gl_image
raise RuntimeError('Failed to register GL texture as a CUDA shared resource.')
RuntimeError: Failed to register GL texture as a CUDA shared resource.
Process finished with exit code 1
Although I tried to recreate conda env based on the tutorial, this issue still exists.
The text was updated successfully, but these errors were encountered:
When I try to run main_nerf.py, I successfully loaded the data, but the interactive renderer was crushed due to the following errors:
Although I tried to recreate conda env based on the tutorial, this issue still exists.
The text was updated successfully, but these errors were encountered: